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Generalizability of electrocardiographic artificial intelligence
Ibrahim Karabayir1, Oguz Akbilgic2
1Department of Cardiovascular Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Abstract:
Electrocardiographic artificial intelligence (ECG-AI) uses AI-based algorithms to analyze ECGs. Recent literature has revealed the untapped potential of ECG beyond traditional diagnostics. ECG-AI is now used not only to detect arrhythmias but also to assess risk and identify both cardiovascular and non-cardiovascular conditions. This perspective article summarizes evidence from published literature to support the conclusion that ECG-AI models are highly generalizable and have the potential to revolutionize healthcare.
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